SemEval-2023 Task 5: Clickbait Spoiling
Maik Fröbe, Benno Stein, Tim Gollub, Matthias Hagen, Martin Potthast
Abstract
In this overview paper, we report on the second PAN~Clickbait Challenge hosted as Task~5 at SemEval~2023. The challenge’s focus is to better support social media users by automatically generating short spoilers that close the curiosity gap induced by a clickbait post. We organized two subtasks: (1) spoiler type classification to assess what kind of spoiler a clickbait post warrants (e.g., a phrase), and (2) spoiler generation to generate an actual spoiler for a clickbait post.- Anthology ID:
- 2023.semeval-1.312
- Volume:
- Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2275–2286
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.312/
- DOI:
- 10.18653/v1/2023.semeval-1.312
- Cite (ACL):
- Maik Fröbe, Benno Stein, Tim Gollub, Matthias Hagen, and Martin Potthast. 2023. SemEval-2023 Task 5: Clickbait Spoiling. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2275–2286, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- SemEval-2023 Task 5: Clickbait Spoiling (Fröbe et al., SemEval 2023)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.312.pdf